This proven text provides an accessible introduction to the foundations and applications of Bayesian analysis. Broadening its scope to nonstatisticians, this edition concentrates more on hierarchical Bayesian modeling as implemented via MCMC methods and related data analytic techniques. It contains a state-of-the-art, reader-friendly introduction to hierarchical statistical modeling, a new chapter on Bayesian design that emphasizes Bayesian clinical trials, a completely revised and expanded section on ranking and histogram estimation, and a new case study on infectious disease modeling and the 1918 flu epidemic. This edition also includes new data examples, corresponding R and WinBUGS code, and exercises.
• Chapman & Hall/CRC Texts in Statistical Science
Statistical Theory & Methods
Statistics for the Biological Sciences
Statistics & Computing
Textbook
Undergraduate

Sexta edición de un clásico del catálogo McGraw-Hill. Dirigido a no-economistas, especialmente en Derecho y/o para asignaturas cuatrimestrales, no anuales. Cubre, no obstante, tanto la microeconomía como la macroeconomía. Contiene una sólida introducción a los conceptos esenciales de la economía, enfatizando en casos y problemas del mundo real. El texto es claro y conciso, e incluye muchos ejemplos actuales.

ROMÁNTICA ESENCIA

Atmospheric Acoustic Remote Sensing offers experts and non-experts a straightforward guide for using SODARs to perform wind measurements and data analysis for scientific, environmental, or alternative monitoring applications. This authoritative work systematically explains the underlying science, principles, and operational aspects of acoustic radars. Abundant diagrams and figures, including 8 pages of full-color images, enhance clear guidelines and tools for handling calibration, error, equipment, hardware, sampling, and data analysis. The final chapter explores applications in environmental research, boundary layer research, wind power and loading, complex terrain, and sound speed profiles.
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Geophysics
Reference
Professional